Deep learning approaches for <italic>de novo</italic> drug design: an overview-Reference-Cited by-同舟云学术

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Deep learning approaches for <italic>de novo</italic> drug design: an overview

Published:2022-10-26 Issue:1 Volume:53 Page:95-106
ISSN:1674-7224
Container-title:SCIENTIA SINICA Chimica
language:en
Short-container-title:Sci. Sin.-Chim

Author:

Wang Mingyang,Li Dan,Hou Tingjun,Kang Yu

Publisher

Science China Press., Co. Ltd.

Subject

Materials Chemistry,General Chemical Engineering,Biochemistry,General Chemistry

Link

https://engine.scichina.com/doi/pdf/976F8E451E0E46A1979D8689B6B9565A

Reference88 articles.

1. The Current Status of Drug Discovery and Development as Originated in United States Academia: The Influence of Industrial and Academic Collaboration on Drug Discovery and Development

2. Structure-Based Virtual Screening for Drug Discovery: a Problem-Centric Review

3. Computational Methods in Drug Discovery

4. The application of in silico drug-likeness predictions in pharmaceutical research

5. 970 Million Druglike Small Molecules for Virtual Screening in the Chemical Universe Database GDB-13

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2. Advances in deep learning-based 3D molecular generative models;SCIENTIA SINICA Chimica;2023-01-09

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